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MULTI-VIEW LEARNING

Multi-View Learning is a machine learning framework where data are represented by multiple distinct feature groups, and each feature group is referred to as a particular view.

Source: Dissimilarity-based representation for radiomics applications

Papers

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Showing 171–180 of 256 papers

TitleStatusHype
MEGAN: A Generative Adversarial Network for Multi-View Network Embedding—0
MERIT: Multi-view Evidential learning for Reliable and Interpretable liver fibrosis sTaging—0
MetaViewer: Towards A Unified Multi-View Representation—0
MHCN: A Hyperbolic Neural Network Model for Multi-view Hierarchical Clustering—0
ML-LocNet: Improving Object Localization with Multi-view Learning Network—0
Modal Regression based Structured Low-rank Matrix Recovery for Multi-view Learning—0
MultiEarth 2023 Deforestation Challenge -- Team FOREVER—0
Multimodal and Multi-view Models for Emotion Recognition—0
Multi-Participant Multi-Class Vertical Federated Learning—0
Multi-view Audio and Music Classification—0
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